Seizure Activity Across Scales From Neuronal Population Firing to Clonic Motor Semiology
Bibliographic record
Abstract
The correlation of clinical semiology with neuronal firing in human seizures has not been well described. Similarly, the neuronal firing patterns underlying high-frequency oscillations during seizures remain controversial. Using implanted subdural electrodes and a microelectrode array in a patient with focal status epilepticus, in which 40 habitual focal motor seizures and 101 subclinical seizures were captured, the authors analyzed the association of EEG, high-frequency oscillations, and multiunit activity to facial motor semiology. The development of ictal high-frequency oscillations in subdural electrodes overlying face motor cortex was temporally associated with clonic facial movements. In representative seizures selected for multiunit analysis, synchronization of neuronal firing in the adjacent microelectrode array aligned with clinical onset and was greater in clinical seizures compared with subclinical seizures. This report demonstrates the electrophysiologic signatures of focal seizures at the level of neuronal firing, high-frequency oscillations, and EEG as they organize from microscale to macroscale, with clinical correlation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".